X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fevaluate.cpp;h=728990680f6a1ac9e6fdd8df0e88a29ee327c7b3;hb=9b80897657bde99cfb6568d8bd3386c3999f22c4;hp=2ab4fa404e094c535166484677da6c5066d13a51;hpb=af110e02ec96cdb46cf84c68252a1da15a902395;p=stockfish diff --git a/src/evaluate.cpp b/src/evaluate.cpp index 2ab4fa40..72899068 100644 --- a/src/evaluate.cpp +++ b/src/evaluate.cpp @@ -58,8 +58,6 @@ namespace Eval { string currentEvalFileName = "None"; - static double to_cp(Value v) { return double(v) / UCI::NormalizeToPawnValue; } - /// NNUE::init() tries to load a NNUE network at startup time, or when the engine /// receives a UCI command "setoption name EvalFile value nn-[a-z0-9]{12}.nnue" /// The name of the NNUE network is always retrieved from the EvalFile option. @@ -119,7 +117,7 @@ namespace Eval { { string msg1 = "Network evaluation parameters compatible with the engine must be available."; - string msg2 = "The option is set to true, but the network file " + eval_file + " was not loaded successfully."; + string msg2 = "The network file " + eval_file + " was not loaded successfully."; string msg3 = "The UCI option EvalFile might need to specify the full path, including the directory name, to the network file."; string msg4 = "The default net can be downloaded from: https://tests.stockfishchess.org/api/nn/" + std::string(EvalFileDefaultName); string msg5 = "The engine will be terminated now."; @@ -145,7 +143,6 @@ Value Eval::evaluate(const Position& pos) { assert(!pos.checkers()); Value v; - Value psq = pos.psq_eg_stm(); int nnueComplexity; int npm = pos.non_pawn_material() / 64; @@ -155,9 +152,14 @@ Value Eval::evaluate(const Position& pos) { Value nnue = NNUE::evaluate(pos, true, &nnueComplexity); + int material = pos.non_pawn_material(stm) - pos.non_pawn_material(~stm) + + 126 * (pos.count(stm) - pos.count(~stm)); + // Blend optimism with nnue complexity and (semi)classical complexity - optimism += optimism * (nnueComplexity + abs(psq - nnue)) / 512; - v = (nnue * (945 + npm) + optimism * (150 + npm)) / 1024; + optimism += optimism * (nnueComplexity + abs(material - nnue)) / 512; + + v = ( nnue * (915 + npm + 9 * pos.count()) + + optimism * (154 + npm + pos.count())) / 1024; // Damp down the evaluation linearly when shuffling v = v * (200 - pos.rule50_count()) / 214; @@ -192,11 +194,11 @@ std::string Eval::trace(Position& pos) { Value v; v = NNUE::evaluate(pos, false); v = pos.side_to_move() == WHITE ? v : -v; - ss << "NNUE evaluation " << to_cp(v) << " (white side)\n"; + ss << "NNUE evaluation " << 0.01 * UCI::to_cp(v) << " (white side)\n"; v = evaluate(pos); v = pos.side_to_move() == WHITE ? v : -v; - ss << "Final evaluation " << to_cp(v) << " (white side)"; + ss << "Final evaluation " << 0.01 * UCI::to_cp(v) << " (white side)"; ss << " [with scaled NNUE, ...]"; ss << "\n";